B
Refine
Document Type
- Article (111)
Keywords
- Leveraged buyout (4)
- Private equity (4)
- Sharing economy (4)
- Corporate venturing (3)
- Digital transformation (3)
- Shapley value (3)
- TU game (3)
- Value creation (3)
- Artificial intelligence (2)
- Business model design (2)
Institute
- Chair of Strategic Entrepreneurship (19)
- Chair of Macroeconomics (14)
- Chair of Entrepreneurship and Technology Transfer (11)
- Chair of Financial Management (9)
- Chair of Business Psychology and Leadership (8)
- Chair of Mergers & Acquisitions (8)
- Chair of Accounting and Auditing (7)
- Chair of Economics and Information Systems (7)
- Chair of Marketing and Retail (6)
- Chair of Marketing Management and Sustainability (5)
Has Fulltext
- no (111)
Academic scientists who commercialize their research findings via spin-off creation have to transition from the academic sphere to the commercial sphere. Along this spin-off creation process, they face challenges adapting to the conflicting logics of these spheres. We hypothesize that throughout the three phases of this process, the importance of the academic sphere decreases while the importance of the commercial sphere increases. We collected a representative sample of 1,149 scientists from the German state of Thuringia. To test our hypotheses, we apply dominance analysis and estimate the relative importance of the two spheres. In line with our hypotheses, the importance of the academic sphere declines and the importance of the commercial sphere increases at the beginning of the process. Towards the end of the process, we observe a further decline in the relative importance of the academic sphere, but, unexpectedly, also a decline for the commercial sphere. Notably, our results show that the commercial sphere is in general more important than the academic sphere throughout the process. Our results challenge existing conceptualizations that emphasize the importance of the academic sphere, especially at the beginning of the spin-off founding process. The results provide intervention points for policy measures to promote academic spin-offs.
Although firms rely on employees’ innovative work behaviour and effective leadership to achieve service innovation performance, these relations remain underexplored, especially regarding digital leadership. We conceptualise a digital leader’s capabilities and explore influences on innovative work behaviour and service innovation performance, using the dynamic capabilities view as a theoretical lens. Applying a multi-method exploratory research design, our qualitative results, based on 34 expert interviews, deliver a taxonomy of digital leadership capabilities along three dimensions. With 249 survey participants, we quantitatively tested dimensional influences individually (multidimensional view) and collectively (unidimensional view) using structural equation modelling. In line with our mediation results, both views are significantly positively related to innovative work behaviour; still, only the unidimensional view significantly influences service innovation performance. Our results underpin the comprehensive character of digital leadership capabilities contributing to innovation research with a new “antecedal” perspective. We also provide practical relevance by revealing innovation-effective leadership capabilities.
Transform me if you can
(2023)
This study sheds light on the relationships between digital transformation, business model, and process efficiency capabilities, and new product development (NPD) performance by employing a sequential explanatory approach, combining quantitative and qualitative research methodologies, utilizing structural equation modeling based on 430 questionnaire respondents, and a multiple case study design using four cases. The derived framework highlights that digital transformation does not directly lead to NPD performance but that organizations use idiosyncratic higher order (e.g., business model and process efficiency) capabilities that mediate this relationship to strategically cope with change. When assessing, reconfiguring, and integrating, organizations tap into internal and external value, individual, technological, and organizational (VITO) dimensions to transform operational capabilities and resources. Thus, higher order capabilities enable organizations to leverage firm-external opportunities to adjust intrafirm operational capabilities, resources, and competencies, emphasizing a complex hierarchical and contextual interplay. The contributions of the study are twofold: 1) we provide statistical evidence that the business model and process efficiency capabilities are coping mechanisms to master digital transformation and 2) the successful orchestration of VITO dimensions is essential for assessing, reconfiguring, and integrating resources, competencies, and operational capabilities to derive NPD performance.
Europe's energy crisis:
(2023)
This paper provides first empirical evidence on the effect of geopolitical risks in fossil fuel supplier countries on renewable energy diffusion in fossil fuel importing countries and the mediating roles of rising electricity prices and high import dependence. For this end, aggregate measures of geopolitical risk that countries are exposed to through fossil fuel imports are determined. This is done by combining detailed data on bilateral trade patterns for coal, oil, and natural gas of 37 countries in Europe with that on geopolitical risks in supplier countries. Using an instrumental variable approach, the study reveals that geopolitical risks in supplier countries tended to foster renewable energy diffusion in Europe during the period 1991–2021. The effects are especially pronounced for geopolitical risks related to coal and natural gas imports, while the importance of risks related to particular fossil fuels differed for the build-up of the individual renewable energies, i.e. wind, solar, and biomass. Rising electricity prices and high import dependence, particularly for coal, partially amplified the effects on renewable energy diffusion. Despite the high import dependence, natural gas appears to have played in part a role as a bridging technology for energy transition.
The introduction of ChatGPT in November 2022 by OpenAI has stimulated substantial discourse on the implementation of artificial intelligence (AI) in various domains such as academia, business, and society at large. Although AI has been utilized in numerous areas for several years, the emergence of generative AI (GAI) applications such as ChatGPT, Jasper, or DALL-E are considered a breakthrough for the acceleration of AI technology due to their ease of use, intuitive interface, and performance. With GAI, it is possible to create a variety of content such as texts, images, audio, code, and even videos. This creates a variety of implications for businesses requiring a deeper examination, including an influence on business model innovation (BMI). Therefore, this study provides a BMI perspective on GAI with two primary contributions: (1) The development of six comprehensive propositions outlining the impact of GAI on businesses, and (2) the discussion of three industry examples, specifically software engineering, healthcare, and financial services. This study employs a qualitative content analysis using a scoping review methodology, drawing from a wide-ranging sample of 513 data points. These include academic publications, company reports, and public information such as press releases, news articles, interviews, and podcasts. The study thus contributes to the growing academic discourse in management research concerning AI’s potential impact and offers practical insights into how to utilize this technology to develop new or improve existing business models.
This study explores the concept of massive and rapid business scaling (MRBS) in the context of digital start-ups by identifying 20 factors clustered into seven core drivers. Through inductive qualitative research, the study builds on 53 semi-structured interviews with founders, executives, and advisors, leading to the development of a framework that uncovers seven core drivers of MRBS contributing to the scaling process. These core drivers are as follows: 1) scanning the environment and recognizing opportunities, 2) iteratively adjusting the business model with an asset-light structure, 3) achieving operational excellence through digitization, 4) building an efficient and entrepreneurial workforce combined with leadership and vision, 5) leveraging internal resources to strengthen positioning and expand the market, 6) attracting capital to facilitate growth realization, and 7) cultivating organizational agility and a transformation culture. While core drivers one to five imply a processual nature, the sixth and seventh core drivers serve as a foundation for MRBS. Moreover, this study outlines several areas of tension within the process of MRBS. Therefore, the study provides valuable insights for scholars and practitioners.
Quo vadis?
(2023)
This Special Issue emerged from the ‘Next Generation Forum’ at the 2018 Interdisciplinary Perspectives on Accounting (IPA) Conference in Edinburgh, UK, and its sequel at the 2019 Asia-Pacific Interdisciplinary Research in Accounting (APIRA) Conference in Auckland, New Zealand. These fora were set up because many emerging and a number of senior scholars in the field felt interdisciplinary accounting research (IAR) at risk of losing its momentum, and many of them continue to be concerned today (Alawattage et al., 2021). We start by defining what we mean by IAR and then discuss the most important criticisms that IAR is currently facing. Subsequently, we summarize the contributions of the articles that appear in this Special Issue. We conclude by offering our own, necessarily subjective and personal, vision of a desirable future for IAR.
Artificial intelligence-enabled business model innovation: competencies and roles of top management
(2023)
Research in artificial intelligence and business model
innovation is flourishing. Nevertheless, the current discussion lacks
an overarching understanding of, and thus has not sufficiently addressed,
the interface between artificial intelligence-enabled business
model innovation and the critical role of top management. Although
a paradigm shift affecting top management is already occurring,
extant management literature is limited, especially in terms of
primary research. Accordingly, this study explores how top management
can encourage and facilitate artificial intelligence-enabled
business model innovation. We utilized an inductive approach and
conducted semistructured interviews with 47 practitioners to develop
a grounded theory. The developed framework consists of five
top management competencies and eight top management roles.
Overall, our study contributes to research in business model innovation
theory, revealing that top management requires a specific
skill set to carry out their roles and fulfill expectations.
This study investigates how sharing ventures address the paradox of doing good versus doing harm in their strategic decision-making. The doing good versus doing harm paradox refers to the difficulty of sharing ventures to balance the aim to benefit society and the environment while minimizing potential adverse effects. Understanding and addressing this paradox is crucial for promoting sustainable and responsible decision-making. Our thematic content analysis of 38 in-depth interviews with founders and senior managers of sharing ventures in four European countries finds that these ventures align along three distinct value focus types in their decisionmaking and use five mechanisms to conceal paradoxes related to balancing social/environmental and economic contradictions. By surfacing the importance of sharing ventures' value focus and resultant mechanisms to deparadoxify, our findings provide insights into organisational paradox and the sharing economy, specifically the purposeful concealment of paradox as a counterintuitive choice for remaining actionable in decision contexts.
Purpose
The article discusses the current relevance of artificial intelligence (AI) in research and how AI improves various research methods. This article focuses on the practical case study of systematic literature reviews (SLRs) to provide a guideline for employing AI in the process.
Design/methodology/approach
Researchers no longer require technical skills to use AI in their research. The recent discussion about using Chat Generative Pre-trained Transformer (GPT), a chatbot by OpenAI, has reached the academic world and fueled heated debates about the future of academic research. Nevertheless, as the saying goes, AI will not replace our job; a human being using AI will. This editorial aims to provide an overview of the current state of using AI in research, highlighting recent trends and developments in the field.
Findings
The main result is guidelines for the use of AI in the scientific research process. The guidelines were developed for the literature review case but the authors believe the instructions provided can be adjusted to many fields of research, including but not limited to quantitative research, data qualification, research on unstructured data, qualitative data and even on many support functions and repetitive tasks.
Originality/value
AI already has the potential to make researchers’ work faster, more reliable and more convenient. The authors highlight the advantages and limitations of AI in the current time, which should be present in any research utilizing AI. Advantages include objectivity and repeatability in research processes that currently are subject to human error. The most substantial disadvantages lie in the architecture of current general-purpose models, which understanding is essential for using them in research. The authors will describe the most critical shortcomings without going into technical detail and suggest how to work with the shortcomings daily.
With scarce research on the intersection of corporate venturing and firm strategy, few companies succeed in using their dedicated corporate venturing units (CVUs) for strategic renewal. This study examines this intersection in so-called interlinked-ambidextrous CVUs. Through relational interlinks with internal and external stakeholders, these organizational entities combine the exploration of new market opportunities with the exploitation of existing core competencies to develop new competitive advantages for their parent companies. That way, they aim to create organizationally consequential new business that can change the competitive positioning of a company. To investigate such strategic corporate venturing, the study collects and analyses qualitative data from interlinked-ambidextrous units in 16 European companies. The resulting key themes and their relationships are mapped onto an exploratory model of strategic corporate venturing that includes organizational context factors as antecedents; process activities, relational mechanisms and dynamic capabilities as enablers; and an ambidextrous orientation as a mediator for the intended strategic renewal task. Embedding these key findings within existing theory provides valuable contributions to the development of the strategic corporate venturing concept and the understanding of interlinked-ambidextrous CVUs. This can help practitioners tackle the strategic renewal challenge through corporate venturing.
We study the asymptotic stability in replicator dynamics derived from TU games using the dual Lovász-Shapley value and the Shapley2 value for non-negatively weighted games. In particular, we provide a complete description of asymptotically stable population profiles in both dynamics. In the dual Lovász-Shapley replicator dynamic, for example, asymptotically stable populations for simple monotonic games correspond to their minimal blocking coalitions.
Corporate accelerators have become a relevant intermediary that connects startups and corporations. Their strategic goal is to establish close relationships between startups and corporations that add value for both parties in the long term. While in principle startups go through an acceleration phase successfully, they may struggle to build meaningful relationships with the accelerator’s corporate parent thereafter. In research, the post-acceleration phase and its challenges for corporations and startups has not been adequately addressed to date. Therefore, the goal of this article is to shed light on how corporations and startups collaborate after startups leave an accelerator programme, and which factors hinder successful relationship-building. Grounding on 21 corporate accelerator cases containing data from 99 semi-structured interviews with corporate accelerator managers and startup alumni of accelerator programmes, we present different forms of post-programme collaboration and outline obstacles of post-programme relationship-building. Our results emphasise a key role of business units in successful relationship-building and indicate legitimacy problems of accelerators within its corporate organisation. We alsoprovide guidance for corporations, accelerators, and startups on how to increase the success of post-programme collaboration by demonstrating manifold challenges of post-programme collaboration and showing ways how to overcome them.
Despite service productivity’s scholarly prominence and practical relevance, past research in marketing has primarily adopted isolated perspectives from which disjointed empirical findings reign supreme. As the acquisition of knowledge about service productivity accelerates, the collective evidence becomes more interdisciplinary but also more fragmented. This study uses a meta-analysis to integrate the substantial empirical record on service productivity. We formulate hypotheses on the moderators of service productivity-determinant relationships and meta-analyze 77 articles, relying on 81 independent samples with a cumulative sample size of 30,238 participants to test our predictions. Our meta-analysis provides empirical evidence that service quality and internal efficiency must be considered jointly, not in isolation, to maximize profitability. Thus, relying on one aspect in isolation is less appropriate for measurement purposes and might not lead to positive outcomes. This important finding should concern service scholars and managers because falling profit margins require service firms to move beyond the traditional manufacturing productivity that separates service quality from internal efficiency and consider service productivity as a profitability concept. In sum, our findings provide a viable model to explain the main service productivity determinants and moderating variables, offering valuable insights for practitioners that aim to deliver cost-efficient service quality and promising future research directions.
Beyond the first offer
(2023)
First offers play a significant role in negotiations as they anchor negotiators’ perceptions and influence negotiation outcomes in favor of the first-offer proposer. However, negotiation is a joint decision-making process in which a first offer is typically succeeded by a counteroffer. The impact of a counteroffer has not yet been systematically researched. We propose that a counteroffer influences negotiation outcomes like a first offer. In addition, we conceptualize the “anchor zone” as the distance between the first offer and the counteroffer. We theorize that the anchor zone influences negotiation outcomes because it captures additional information compared to a single offer. To test our hypotheses, we conducted two studies: Study 1 was a vignette study (n = 190) in which participants reacted to a counteroffer that they received based on their first offer as part of a simulated negotiation. Study 2 was an online experiment (n = 212) in which participants negotiated by exchanging offers with no further communication. Our analysis suggests that the counteroffer is a significant predictor of economic outcomes. Thus, it works like a first offer, but with a lower impact. In addition, the anchor zone predicted how far the final agreement was from the first offer. Furthermore, we found that the third offer, the average concessions, and the number of offers mediated the effects of the counteroffer and anchor zone on economic outcomes. Finally, we discovered that a more aggressive counteroffer reduced the subjective value of both negotiators.
Since its inception over two decades ago, the theory of disruptive innovation has sparked heated discussions. Especially because of the increasing importance of societal influences and novel forms of competition and technology, questions about its theoretical value and practical relevance remain. Researchers have focused on firm-internal factors of disruptive innovations to resolve discussions about the validity of the theory. However, the literature lacks an integrated understanding of contextual factors, such as demand, market structure, culture, and regulation, that influence disruptive innovation because of its dispersed, fragmented character across disciplines. Our study addresses this fragmentation and lack of integrated understanding by systematically reviewing 62 articles. The study makes three main contributions. First, we integrate and synthesize the literature on contextual factors of disruptive innovations. Second, we derive a three-phase framework of contextual factors: (1) disruptive susceptibility, (2) emergence and diffusion, and (3) endgame and outcome. Third, we contribute to resolving discussions about the theory's core elements and its predictive value by showing how, depending on the societal, cultural, or market context, the implications of the theory can change. Overall, this article shows how disruptive innovation can start, and be started, by social change. We conclude by suggesting areas for future research.
Which renewable energy (RE) policy instrument is most effective in expanding the international diffusion of RE and what is the role of innovation? We consider rich policy and patent data for 189 countries and territories to investigate these diversely debated questions for wind and solar photovoltaic capacities. This allows us, firstly, to contribute to the limited evidence on the effect of RE innovation on RE diffusion and its interrelated influence with RE support policies. Secondly, we can evaluate the disentangled individual policies' effectiveness in a broad instrument-country context. Thirdly, we control for the inherent endogeneity of policy instruments and innovation. We find that RE innovation, which appears to be largely policy-induced, is among the most promising ways to increase RE capacities. The most effective policy instruments tend to be quotas with certificate trading, tendering, and fiscal instruments that provide specific investment support, i.e. investment tax credits and capital subsidies. Less tangible and projectable measures, such as the most commonly implemented sales-related tax reductions and RE targets, are least effective. While interactions between instruments influence the composition of a well-designed policy mix, there are also differences in the policies' effectiveness and role of innovation depending on the countries' level of development.
Using a sample of 18,225 global buyouts, we find that management buyouts (MBOs) are significantly more likely to occur if economic policy uncertainty (EPU) increases. This finding is consistent with the idea that EPU provides an opportunity for insiders to capitalize on private information and time the market. Further results suggest that market timing pays off on average. We find that MBOs achieve more favorable buyout prices and greater post-buyout operating improvements than institutional buyouts during times of high EPU. Our results hold when exploiting close national election races as a quasi-natural experiment for EPU.
In 2003, the German Stock Exchange instituted the Prime Standard as the highest regulated stock market segment in Germany. We analyze the firms’ delisting decisions from this market segment between 2003 and 2015, with a focus on different delisting reasons and firm characteristics. We identify 518 firms that listed on the Prime Standard at least once during the sample period of which 243 firms left this market segment. Of these firms, 107 down-listed and transferred to lower market segments and 136 firms exited the public equity market for the following reasons: 61 firms merged, 53 were insolvent, and 22 firms went private. Using cross-sectional and firm-fixed effects logit regressions, we provide new evidence for firms’ market segment and delisting decisions. Consistent with a cost–benefit analysis, we observe that inferior growth opportunities, low stock liquidity, smaller firm size, poor operating performance, higher audit fees, and more agency conflicts increase the probability that firms opt for a less regulated stock market segment or voluntarily go private. This raises the important issue of securities market reforms that best meet firms and investors preferences.
Same same but different
(2023)
Venture capital (VC) often involves complex equity contracts with so-called preferential rights affecting the allocation of exit proceeds among different share classes and investors. We structure exit-relevant preferential rights in a two-dimensional framework and develop a contingent claims model that allows for ex-ante valuation of separate shareholdings. The model generates insights on the valuation effects of varying setups in VC financing and indicates considerable mispricing potential of VC investments when applying commonly used heuristics such as the most recent funding round. Applying the model to a sample of ventures indicated an average ’overvaluation’ on a per-share basis of 26.7%, with common stocks and early-stage investments being the most affected. In addition, our analysis provides different implications regarding the effects of preferential right structuring for early and late stage investors.